PH Deck

Users need to manage AI agents across full operating systems but face inefficient resource usage and lack of standardized containerization for AI workflows.

Users need to manually operate computers or smartphones for tasks, leading to time-consuming and error-prone operations

Users face manual operations that are time-consuming and prone to errors.

Users faced challenges in performing basic computer tasks without AI assistance

Users need to automate Windows-based workflows, including desktop applications without APIs. Manual operation of desktop applications and lack of API integration lead to inefficiency and scalability limitations.

Users previously managed workflows with manual processes and disconnected tools, leading to time-consuming coordination and data silos that hinder productivity and scalability.

Users need to manually find or build AI agents for tasks, facing inefficient discovery and complex development processes without specialized platforms.

Users face challenges in making websites accessible to AI agents, with traditional approaches requiring significant effort to manually adapt and integrate interactive elements, leading to inefficiencies in enabling AI interactions.

Traditional approaches have drawbacks such as requiring significant effort to manually adapt and integrate interactive elements.

Users need to build intelligent agents but face challenges with existing tools that are not optimized for Go, leading to complex setup, limited scalability, and lack of native Go integration.

Users find it challenging to develop and manage AI agents due to the complexities involved and the need for coding knowledge, which complicates the process of building and iterating AI solutions.